433 research outputs found

    Keynote speech on the Metaverse (Meta universe) framework, strategies, technologies, deshopping & analytics for the 9th International Conference on Information Management (ICIM 2023) at the University of Oxford UK

    Get PDF
    Overview: Framework/paradigm & technologies Strategies & quantum strategies Consumer behaviour across the worlds of the Metaverse Metaverse analytic

    A web-based hybrid system for blended electronic, mobile and social media marketing planning

    Get PDF

    Linking social media with open innovation: an intelligent model

    Get PDF

    Web and social media dynamics, and evolutionary and adaptive branding: theories and a hybrid intelligent model

    Get PDF

    Investigating Survivability of Configuration Management Tools in Unreliable and Hostile Networks

    Get PDF
    A configuration management system (CMS) can control large networks of computers. A modern CMS is idempotent and describes infrastructure as code, so that it uses a description of the desired state of a system to automatically correct any deviations from a defined goal. As this requires both complete control of the slave systems and unquestioned ability to provide new instructions to slaves, the CMS is highly valuable target for attackers. Criminal malware networks already survive in hostile, heterogeneous networks, and therefore, the concepts from those systems could be applied to benign enterprise CMSs. We describe one such concept, the hidden master architecture, and compare its survivability to existing systems using attack trees

    Agent-Based Modeling of Deshopping Behaviour: A Single Shop Model with Multiple Deshoppers

    Get PDF
    Deshopping is rapidly turning into a modern day scourge for the retailers worldwide due to its prevalence and regularity. The presence of flexible return policies have made retail return management a real challenging issue for both the present and the future. In this study, we propose and develop a multi-agent simulation model for deshopper behavior in a single shop context. The background, theoretical underpinning, logical and computational model, experiment design and simulation results are reported and discussed in the paper

    Density Game Analysis and Evolutionary Equilibrium of Supply Side Symbiosis Behavior of Green Building Considering the Market Carrying Capacity

    Get PDF
    The process of green building development involves not only the symbiotic changes on the numbers of green and traditional buildings, but also the game payment of the agents. On the basis of the symbiosis theory and evolutionary game theory, a symbiosis model of green building supply side is established, with the construction market carrying capacity considered. The evolutionary stable points and stability conditions of the symbiotic evolutionary model are analyzed and discussed

    A Survey of the Current Status of Research on Quantum Games

    Get PDF
    Quantum games have gained considerable interest from researchers. In this paper, on the basis of the Web of Science database, through the use of the social network analysis methods, the literature on quantum games is analyzed from three aspects: the keywords co-occurrence, co-authorship, and co-citation. In the process of analysis, the main quantum game models are reviewed with graphical illustrations. Our paper provides a survey and outline of the current Status of research in this field, and identify directions for future work

    A multi-agent-based evolution model of innovation networks in dynamic environments

    Get PDF
    An innovation network can be considered as a complex adaptive system with evolution affected by dynamic environments. This paper establishes a multi-agent-based evolution model of innovation networks under dynamic settings through computational and logical modeling, and a multi-agent system paradigm. This evolution model is composed of several sub-models of agents' knowledge production by independent innovations in dynamic situations, knowledge learning by cooperative innovations covering agents' heterogeneities, decision-making for innovation selections, and knowledge update considering decay factors. On the basis of above-mentioned sub-models, an evolution rule for multi-agent based innovation network system is given. The proposed evolution model can be utilized to simulate and analyze different scenarios of innovation networks in various dynamic environments and support decision-making for innovation network optimization
    • …
    corecore